Introduction - If you have any usage issues, please Google them yourself
Image denoising based on wavelet transform shows that the noise content is very strong from noisy images, and from the denoising results, we can see that the image after denoising by wavelet is basically the same as the original image. The first time noise elimination filtered most of the high frequency noise, but compared with the original image, there were still many high frequency noises. The second time de noising was based on the first de noising, and the high frequency noise was filtered again, which had better denoising effect, but the image quality was slightly worse than the original one.